Neural partial differential equations for chaotic systems
When predicting complex systems one typically relies on differential equation which can often be incomplete, missing unknown influences or higher order effects. By augmenting the equations with artificial neural networks we can compensate these deficiencies. We show that this can be used to predict...
| 發表在: | New Journal of Physics |
|---|---|
| Main Authors: | , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
IOP Publishing
2021-01-01
|
| 主題: | |
| 在線閱讀: | https://doi.org/10.1088/1367-2630/abeb90 |